As a Data Engineer, you will be working for our client, a leading global financial institution, known for building innovative digital solutions and transforming the banking industry. You will play a key role in supporting their data and digital transformation initiatives by developing and optimizing data engineering processes. Working with cutting-edge technologies, you’ll contribute to the development of robust and scalable data solutions for critical financial services, handling everything from data pipelines to cloud integrations. You’ll be part of a dynamic team working on both greenfield projects and established banking applications.
Join us, and enhance data solutions with the latest technologies and tools!
Krakow-based opportunity with the possibility to work 80% remote (8 days per month from the office).
responsibilities :
Developing and optimizing data engineering processes
Building robust, fault-tolerant data solutions for both cloud and on-premise environments
Automating data pipelines to ensure seamless data flow from ingestion to serving
Creating well-tested, clean code in line with modern software engineering principles
Working with cloud technologies (AWS, Azure, GCP) to support large-scale data operations
Supporting data transformation and migration efforts from on-premise to cloud ecosystems
Designing and implementing scalable data models and schemas
Maintaining and enhancing big data technologies such as Hadoop, HDFS, Spark, and Cloudera
Collaborating with cross-functional teams to solve complex technical problems
Contributing to the development of CI/CD pipelines and version control practices
requirements-expected :
Strong experience in the Data Engineering Lifecycle, especially in building data pipelines
Proficiency in Python, Pyspark, and the Python ecosystem
Experience with cloud platforms such as AWS, Azure, or GCP (preferably GCP)
Expertise in Hadoop on-premise distributions, particularly Cloudera
Experience with big data tools such as Spark, HDFS, HIVE, and Databricks
Knowledge of data lake formation, data warehousing, and schema design
Strong understanding of SQL and NoSQL databases
Ability to work with data formats like Parquet, ORC, and Avro
Familiarity with CI/CD pipelines and version control tools like Git
Strong communication skills to collaborate with diverse teams
offered :
Stable and long-term cooperation with very good conditions
Enhance your skills and develop your expertise in the financial industry
Work on the most strategic projects available in the market
Define your career roadmap and develop yourself in the best and fastest possible way by delivering strategic projects for different clients of ITDS over several years
Participate in Social Events, training, and work in an international environment
Access to attractive Medical Package
Access to Multisport Program
Access to Pluralsight
Flexible hours
benefits :
sharing the costs of sports activities
private medical care
flexible working time
fruits
integration events
corporate gym
mobile phone available for private use
computer available for private use
saving & investment scheme
no dress code
coffee / tea
drinks
christmas gifts
birthday celebration
sharing the costs of a streaming platform subscription
